Introduce code from Rust monorepo. This is a mess

tts/NeMo/scripts/nemo_legacy_import/asr_checkpoint_port.py

@@ -0,0 +1,72 @@
+# Copyright (c) 2020, NVIDIA CORPORATION.  All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""This script converts old Jasper/QuartzNet models from NeMo 0.11.* to NeMo v1.0.0*
+"""
+
+import argparse
+
+import torch
+from omegaconf import DictConfig
+from ruamel.yaml import YAML
+
+import nemo.collections.asr as nemo_asr
+from nemo.utils import logging
+
+
+def get_parser():
+    parser = argparse.ArgumentParser(description="Converts old Jasper/QuartzNet models to NeMo v1.0beta")
+    parser.add_argument("--config_path", default=None, required=True, help="Path to model config (NeMo v1.0beta)")
+    parser.add_argument("--encoder_ckpt", default=None, required=True, help="Encoder checkpoint path")
+    parser.add_argument("--decoder_ckpt", default=None, required=True, help="Decoder checkpoint path")
+    parser.add_argument("--output_path", default=None, required=True, help="Output checkpoint path (should be .nemo)")
+    parser.add_argument(
+        "--model_type",
+        default='asr',
+        type=str,
+        choices=['asr', 'speech_label', 'speaker'],
+        help="Type of decoder used by the model.",
+    )
+
+    return parser
+
+
+def main(config_path, encoder_ckpt, decoder_ckpt, output_path, model_type):
+
+    yaml = YAML(typ='safe')
+    with open(config_path) as f:
+        params = yaml.load(f)
+
+    model = None
+    if model_type == 'asr':
+        logging.info("Creating ASR NeMo 1.0 model")
+        model = nemo_asr.models.EncDecCTCModel(cfg=DictConfig(params['model']))
+    elif model_type == 'speech_label':
+        logging.info("Creating speech label NeMo 1.0 model")
+        model = nemo_asr.models.EncDecClassificationModel(cfg=DictConfig(params['model']))
+    else:
+        logging.info("Creating Speaker Recognition NeMo 1.0 model")
+        model = nemo_asr.models.EncDecSpeakerLabelModel(cfg=DictConfig(params['model']))
+
+    model.encoder.load_state_dict(torch.load(encoder_ckpt))
+    model.decoder.load_state_dict(torch.load(decoder_ckpt))
+    logging.info("Succesfully ported old checkpoint")
+
+    model.save_to(output_path)
+    logging.info("new model saved at {}".format(output_path))
+
+
+if __name__ == "__main__":
+    args = get_parser().parse_args()
+    main(args.config_path, args.encoder_ckpt, args.decoder_ckpt, args.output_path, args.model_type)